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Triplex-GGUF

Original Model

SciPhi/Triplex

Run with LlamaEdge

  • LlamaEdge version: coming soon

Quantized GGUF Models

Name Quant method Bits Size Use case
Triplex-Q2_K.gguf Q2_K 2 1.42 GB smallest, significant quality loss - not recommended for most purposes
Triplex-Q3_K_L.gguf Q3_K_L 3 2.09 GB small, substantial quality loss
Triplex-Q3_K_M.gguf Q3_K_M 3 1.96 GB very small, high quality loss
Triplex-Q3_K_S.gguf Q3_K_S 3 1.68 GB very small, high quality loss
Triplex-Q4_0.gguf Q4_0 4 2.18 GB legacy; small, very high quality loss - prefer using Q3_K_M
Triplex-Q4_K_M.gguf Q4_K_M 4 2.39 GB medium, balanced quality - recommended
Triplex-Q4_K_S.gguf Q4_K_S 4 2.19 GB small, greater quality loss
Triplex-Q5_0.gguf Q5_0 5 2.64 GB legacy; medium, balanced quality - prefer using Q4_K_M
Triplex-Q5_K_M.gguf Q5_K_M 5 2.82 GB large, very low quality loss - recommended
Triplex-Q5_K_S.gguf Q5_K_S 5 2.64 GB large, low quality loss - recommended
Triplex-Q6_K.gguf Q6_K 6 3.14 GB very large, extremely low quality loss
Triplex-Q8_0.gguf Q8_0 8 4.06 GB very large, extremely low quality loss - not recommended
Triplex-f16.gguf f16 16 7.64 GB

Quantized with llama.cpp b3463

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GGUF
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phi3

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SciPhi/Triplex
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